AerialCrackDetection icon indicating copy to clipboard operation
AerialCrackDetection copied to clipboard

Demo Pictures and question about algorithm

Open rrmina opened this issue 7 years ago • 3 comments

Hello TTMRonald, Your work is really interesting. I saw your results in the Caffe version repo and your results are actually promising. However I've got 2 questions for you.

  1. I don't have a fast internet connection, so I still haven't tried this or the caffe version. But I digress. what I'm about to ask is if you have demo pictures for this Keras version, like the demo pictures you posted for the caffe version.

  2. I'm not yet an expert in RCNNs and therefore I don't know yet there difference with each other(Simple RCNN, FastRCNN, FasterRCNN) but I see in this repo (Keras version) that you named one of your folder as FastRCNN instead of FasterRCNN. Is this just a mistake, or did you really use jsut FastRCNN and not FasterRCNN?

Thank you and regards, Rusty

rrmina avatar Aug 02 '17 08:08 rrmina

Hello Rusty, Thank you for your attention. The follow is my answer to your question.

  1. I have demo pictures for the Keras version. The result of this Keras version is similar to the result of the Caffe version, but it need bigger memory or more time to train.

  2. The Keras version repo use Faster RCNN to train my dataset. You can see 98 lines to 111 lines in the train.py. They define the Faster RCNN network.

Thank you for your feedback, Ronald

TTMRonald avatar Aug 02 '17 10:08 TTMRonald

Hi Ronald, Is there any preliminary steps to install the Faster RCNN or the entire code is ready to use just like you wrote in the Readme file? Thanks

ronykalfarisi avatar Dec 20 '17 06:12 ronykalfarisi

Hi, Before using the Faster RCNN, you only need to configure the Tensorflow and Keras.

Ronald

TTMRonald avatar Jan 17 '18 11:01 TTMRonald